{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\ryanb\Dropbox\Gender Influence\PSRM\Final\Replication Stuff\PSRM Replication.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}18 Mar 2019, 20:24:14
{txt}
{com}. 
. use "FSU and Hamburg.dta", clear
{txt}
{com}. merge m:1 subid using "All Survey.dta"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}           1,470{txt}  (_merge==3)
{col 5}{hline 41}

{com}. 
. **Grouping Variables**
. gen sessiongroup=session*10+electorate
{txt}
{com}. gen election=session*10000+electorate*100+period
{txt}
{com}. 
. replace alter=. if alter>7
{txt}(730 real changes made, 730 to missing)

{com}. 
. gen alterid=session*100+electorate*10+alter
{txt}(730 missing values generated)

{com}. 
. **FEMALE & PERSONALITY VARIABLES
. gen female=gender
{txt}
{com}. recode female 2=0
{txt}(female: 735 changes made)

{com}. 
. **Recoding Key Variables
. recode turnout 5=0
{txt}(turnout: 734 changes made)

{com}. gen avote=vote
{txt}
{com}. recode avote 1=1 5=0
{txt}(avote: 708 changes made)

{com}. 
. **Code Ex Ante Conflict
. gen conflict=0 if ideal==1 & alter==2
{txt}(1462 missing values generated)

{com}. replace conflict=0.069 if ideal==1 & alter==3
{txt}(0 real changes made)

{com}. replace conflict=.336 if ideal==1 & alter==4
{txt}(30 real changes made)

{com}. replace conflict=.703 if ideal==1 & alter==5
{txt}(30 real changes made)

{com}. replace conflict=0.837 if ideal==1 & alter==6
{txt}(10 real changes made)

{com}. replace conflict=0.854 if ideal==1 & alter==7
{txt}(22 real changes made)

{com}. 
. replace conflict=0 if ideal==2 & alter==1
{txt}(19 real changes made)

{com}. replace conflict=0.052 if ideal==2 & alter==3
{txt}(13 real changes made)

{com}. replace conflict=0.319 if ideal==2 & alter==4
{txt}(11 real changes made)

{com}. replace conflict=0.686 if ideal==2 & alter==5
{txt}(14 real changes made)

{com}. replace conflict=0.821 if ideal==2 & alter==6
{txt}(38 real changes made)

{com}. replace conflict=0.837 if ideal==2 & alter==7
{txt}(10 real changes made)

{com}. 
. replace conflict=0.069 if ideal==3 & alter==1
{txt}(0 real changes made)

{com}. replace conflict=0.052 if ideal==3 & alter==2
{txt}(11 real changes made)

{com}. replace conflict=0.184 if ideal==3 & alter==4
{txt}(18 real changes made)

{com}. replace conflict=0.551 if ideal==3 & alter==5
{txt}(27 real changes made)

{com}. replace conflict=0.686 if ideal==3 & alter==6
{txt}(14 real changes made)

{com}. replace conflict=0.703 if ideal==3 & alter==7
{txt}(30 real changes made)

{com}. 
. replace conflict=.336 if ideal==4 & alter==1
{txt}(41 real changes made)

{com}. replace conflict=.319 if ideal==4 & alter==2
{txt}(16 real changes made)

{com}. replace conflict=.184 if ideal==4 & alter==3
{txt}(40 real changes made)

{com}. replace conflict=.184 if ideal==4 & alter==5
{txt}(0 real changes made)

{com}. replace conflict=.319 if ideal==4 & alter==6
{txt}(13 real changes made)

{com}. replace conflict=.336 if ideal==4 & alter==7
{txt}(0 real changes made)

{com}. 
. replace conflict=0.703 if ideal==5 & alter==1
{txt}(48 real changes made)

{com}. replace conflict=0.686 if ideal==5 & alter==2
{txt}(14 real changes made)

{com}. replace conflict=0.551 if ideal==5 & alter==3
{txt}(29 real changes made)

{com}. replace conflict=0.184 if ideal==5 & alter==4
{txt}(0 real changes made)

{com}. replace conflict=0.052 if ideal==5 & alter==6
{txt}(19 real changes made)

{com}. replace conflict=0.069 if ideal==5 & alter==7
{txt}(0 real changes made)

{com}. 
. replace conflict=0.837 if ideal==6 & alter==1
{txt}(16 real changes made)

{com}. replace conflict=0.821 if ideal==6 & alter==2
{txt}(40 real changes made)

{com}. replace conflict=0.686 if ideal==6 & alter==3
{txt}(14 real changes made)

{com}. replace conflict=0.319 if ideal==6 & alter==4
{txt}(11 real changes made)

{com}. replace conflict=0.052 if ideal==6 & alter==5
{txt}(8 real changes made)

{com}. replace conflict=0.000 if ideal==6 & alter==7
{txt}(16 real changes made)

{com}. 
. replace conflict=0.854 if ideal==7 & alter==1
{txt}(27 real changes made)

{com}. replace conflict=0.837 if ideal==7 & alter==2
{txt}(16 real changes made)

{com}. replace conflict=0.703 if ideal==7 & alter==3
{txt}(48 real changes made)

{com}. replace conflict=0.336 if ideal==7 & alter==4
{txt}(0 real changes made)

{com}. replace conflict=0.069 if ideal==7 & alter==5
{txt}(0 real changes made)

{com}. replace conflict=0.000 if ideal==7 & alter==6
{txt}(19 real changes made)

{com}. 
. gen conflictcat=0 if conflict<.2
{txt}(1299 missing values generated)

{com}. replace conflictcat=1 if conflict>.2 & conflict<.4
{txt}(122 real changes made)

{com}. replace conflictcat=2 if conflict>.4 & conflict<.8
{txt}(268 real changes made)

{com}. replace conflictcat=3 if conflict>.8
{txt}(909 real changes made)

{com}. replace conflictcat=. if conflict==.
{txt}(730 real changes made, 730 to missing)

{com}. 
. **Right Signal and Initial Choice
. 
. gen initialcorrect=1 if initialchoice==1 & abs(canda-ideal)<abs(candb-ideal)
{txt}(932 missing values generated)

{com}. replace initialcorrect=1 if initialchoice==5 & abs(canda-ideal)>abs(candb-ideal)
{txt}(485 real changes made)

{com}. replace initialcorrect=0 if initialchoice==5 & abs(canda-ideal)<abs(candb-ideal)
{txt}(74 real changes made)

{com}. replace initialcorrect=0 if initialchoice==1 & abs(canda-ideal)>abs(candb-ideal)
{txt}(110 real changes made)

{com}. replace initialcorrect=1 if abs(canda-ideal)==abs(candb-ideal)
{txt}(263 real changes made)

{com}. 
. gen altertold=rec1 if informed==0 & firstego==1
{txt}(840 missing values generated)

{com}. replace altertold=rec2 if informed==0 & firstego==0
{txt}(110 real changes made)

{com}. 
. gen altercorrect=1 if altertold==1  & abs(canda-ideal)<abs(candb-ideal)
{txt}(1272 missing values generated)

{com}. replace altercorrect=1 if altertold==5  & abs(canda-ideal)>abs(candb-ideal)
{txt}(168 real changes made)

{com}. replace altercorrect=0 if altertold==5  & abs(canda-ideal)<abs(candb-ideal)
{txt}(108 real changes made)

{com}. replace altercorrect=0 if altertold==1  & abs(canda-ideal)>abs(candb-ideal)
{txt}(132 real changes made)

{com}. replace altercorrect=1 if abs(canda-ideal)==abs(candb-ideal)
{txt}(263 real changes made)

{com}. 
. 
. gen bothright=1 if initialcorrect==1 & altercorrect==1
{txt}(915 missing values generated)

{com}. replace bothright=0 if initialcorrect==0 & altercorrect==1
{txt}(74 real changes made)

{com}. replace bothright=0 if initialcorrect==1 & altercorrect==0
{txt}(198 real changes made)

{com}. replace bothright=0 if initialcorrect==0 & altercorrect==0
{txt}(42 real changes made)

{com}. 
. gen onlyinitialright=0 if initialcorrect==1 & altercorrect==1
{txt}(915 missing values generated)

{com}. replace onlyinitialright=0 if initialcorrect==0 & altercorrect==1
{txt}(74 real changes made)

{com}. replace onlyinitialright=1 if initialcorrect==1 & altercorrect==0
{txt}(198 real changes made)

{com}. replace onlyinitialright=0 if initialcorrect==0 & altercorrect==0
{txt}(42 real changes made)

{com}. 
. gen onlysignalright=0 if initialcorrect==1 & altercorrect==1
{txt}(915 missing values generated)

{com}. replace onlysignalright=1 if initialcorrect==0 & altercorrect==1
{txt}(74 real changes made)

{com}. replace onlysignalright=0 if initialcorrect==1 & altercorrect==0
{txt}(198 real changes made)

{com}. replace onlysignalright=0 if initialcorrect==0 & altercorrect==0
{txt}(42 real changes made)

{com}. 
. gen bothwrong=0 if initialcorrect==1 & altercorrect==1
{txt}(915 missing values generated)

{com}. replace bothwrong=0 if initialcorrect==0 & altercorrect==1
{txt}(74 real changes made)

{com}. replace bothwrong=0 if initialcorrect==1 & altercorrect==0
{txt}(198 real changes made)

{com}. replace bothwrong=1 if initialcorrect==0 & altercorrect==0
{txt}(42 real changes made)

{com}. 
. gen samesignal=1 if altertold==initialchoice
{txt}(1061 missing values generated)

{com}. replace samesignal=0 if altertold!=initialchoice
{txt}(1061 real changes made)

{com}. replace samesignal=. if altertold==.
{txt}(730 real changes made, 730 to missing)

{com}. replace samesignal=. if initialchoice==.
{txt}(0 real changes made)

{com}. 
. **Follow Alter's Recommendation
. gen followalter=1 if vote==altertold
{txt}(963 missing values generated)

{com}. replace followalter=0 if vote!=altertold
{txt}(963 real changes made)

{com}. replace followalter=. if altertold==.
{txt}(730 real changes made, 730 to missing)

{com}. 
. 
. **Correct Vote
. gen finalcorrect=1 if vote==1 & abs(canda-ideal)<abs(candb-ideal)
{txt}(956 missing values generated)

{com}. replace finalcorrect=1 if vote==5 & abs(canda-ideal)>abs(candb-ideal)
{txt}(479 real changes made)

{com}. replace finalcorrect=0 if vote==5 & abs(canda-ideal)<abs(candb-ideal)
{txt}(98 real changes made)

{com}. replace finalcorrect=0 if vote==1 & abs(canda-ideal)>abs(candb-ideal)
{txt}(116 real changes made)

{com}. replace finalcorrect=1 if abs(canda-ideal)==abs(candb-ideal)
{txt}(263 real changes made)

{com}. 
. **EX ANTE BEHAVIORS**
. gen heuristicpay=.
{txt}(1470 missing values generated)

{com}. replace heuristicpay=apay-25 if ideal==1
{txt}(210 real changes made)

{com}. replace heuristicpay=apay-25 if ideal==2
{txt}(210 real changes made)

{com}. replace heuristicpay=apay-25 if ideal==3
{txt}(210 real changes made)

{com}. replace heuristicpay=(apay+bpay)/2 if ideal==4
{txt}(210 real changes made)

{com}. replace heuristicpay=bpay-25 if ideal==5
{txt}(210 real changes made)

{com}. replace heuristicpay=bpay-25 if ideal==6
{txt}(210 real changes made)

{com}. replace heuristicpay=bpay-25 if ideal==7
{txt}(210 real changes made)

{com}. 
. 
. gen heuristicpay2=.
{txt}(1470 missing values generated)

{com}. replace heuristicpay2=apay-25 if ideal==1 & conflict<.5 & altertold==1
{txt}(27 real changes made)

{com}. replace heuristicpay2=apay-25 if ideal==2 & conflict<.5 & altertold==1
{txt}(36 real changes made)

{com}. replace heuristicpay2=apay-25 if ideal==3 & conflict<.5 & altertold==1
{txt}(15 real changes made)

{com}. replace heuristicpay2=bpay-25 if ideal==1 & conflict<.5 & altertold==5
{txt}(11 real changes made)

{com}. replace heuristicpay2=bpay-25 if ideal==2 & conflict<.5 & altertold==5
{txt}(7 real changes made)

{com}. replace heuristicpay2=bpay-25 if ideal==3 & conflict<.5 & altertold==5
{txt}(14 real changes made)

{com}. replace heuristicpay2=(apay+bpay)/2 if ideal==4
{txt}(210 real changes made)

{com}. replace heuristicpay2=apay-25 if ideal==5 & conflict<.5 & altertold==1
{txt}(5 real changes made)

{com}. replace heuristicpay2=apay-25 if ideal==6 & conflict<.5 & altertold==1
{txt}(9 real changes made)

{com}. replace heuristicpay2=apay-25 if ideal==7 & conflict<.5 & altertold==1
{txt}(3 real changes made)

{com}. replace heuristicpay2=bpay-25 if ideal==5 & conflict<.5 & altertold==5
{txt}(14 real changes made)

{com}. replace heuristicpay2=bpay-25 if ideal==6 & conflict<.5 & altertold==5
{txt}(26 real changes made)

{com}. replace heuristicpay2=bpay-25 if ideal==7 & conflict<.5 & altertold==5
{txt}(16 real changes made)

{com}. 
. replace heuristicpay2=apay-25 if ideal==1 & conflict>=.5
{txt}(172 real changes made)

{com}. replace heuristicpay2=apay-25 if ideal==2 & conflict>=.5
{txt}(167 real changes made)

{com}. replace heuristicpay2=apay-25 if ideal==3 & conflict>=.5
{txt}(181 real changes made)

{com}. replace heuristicpay2=bpay-25 if ideal==5 & conflict>=.5
{txt}(191 real changes made)

{com}. replace heuristicpay2=bpay-25 if ideal==6 & conflict>=.5
{txt}(175 real changes made)

{com}. replace heuristicpay2=bpay-25 if ideal==7 & conflict>=.5
{txt}(191 real changes made)

{com}. 
. 
. gen decisionpay=apay-25 if turnout==1 & avote==1
{txt}(1088 missing values generated)

{com}. replace decisionpay=bpay-25 if turnout==1 & avote==0
{txt}(354 real changes made)

{com}. replace decisionpay=(apay+bpay)/2 if turnout==0
{txt}(734 real changes made)

{com}. 
. gen vsexante=decisionpay-heuristicpay
{txt}
{com}. gen vsexante2=decisionpay-heuristicpay2
{txt}
{com}. 
. 
. **Figure 2 Values
. svyset subid, strata(sessiongroup)

      {txt}pweight:{col 16}<none>
          VCE:{col 16}{res}linearized
  {txt}Single unit:{col 16}{res}missing
     {txt}Strata 1:{col 16}{res}sessiongroup
         {txt}SU 1:{col 16}{res}subid
        {txt}FPC 1:{col 16}<zero>
{p2colreset}{...}

{com}. svy: mean bothright, over(conflictcat)
{txt}(running mean on estimation sample)
{res}
{txt}Survey: Mean estimation

{col 1}Number of strata{col 18}= {res}     14{txt}{col 37}Number of obs{col 54}= {res}    740
{txt}{col 1}Number of PSUs{col 18}= {res}     98{txt}{col 37}Population size{col 54}={res}     740
{txt}{col 37}Design df{col 54}= {res}     84

            {txt}0: conflictcat = {res}0
            {txt}1: conflictcat = {res}1
            {txt}2: conflictcat = {res}2
            {txt}3: conflictcat = {res}3

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}        Over{col 14}{c |}       Mean{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{res}bothright    {txt}{c |}
{space 11}0 {c |}{col 14}{res}{space 2} .7251462{col 26}{space 2} .0355886{col 37}{space 5} .6543744{col 51}{space 3}  .795918
{txt}{space 11}1 {c |}{col 14}{res}{space 2} .6065574{col 26}{space 2} .0596915{col 37}{space 5} .4878543{col 51}{space 3} .7252604
{txt}{space 11}2 {c |}{col 14}{res}{space 2} .4925373{col 26}{space 2} .0334575{col 37}{space 5} .4260034{col 51}{space 3} .5590712
{txt}{space 11}3 {c |}{col 14}{res}{space 2} .5363128{col 26}{space 2}  .050172{col 37}{space 5} .4365404{col 51}{space 3} .6360853
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}

{com}. svy: mean onlyinitialright, over(conflictcat)
{txt}(running mean on estimation sample)
{res}
{txt}Survey: Mean estimation

{col 1}Number of strata{col 18}= {res}     14{txt}{col 37}Number of obs{col 54}= {res}    740
{txt}{col 1}Number of PSUs{col 18}= {res}     98{txt}{col 37}Population size{col 54}={res}     740
{txt}{col 37}Design df{col 54}= {res}     84

            {txt}0: conflictcat = {res}0
            {txt}1: conflictcat = {res}1
            {txt}2: conflictcat = {res}2
            {txt}3: conflictcat = {res}3

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 18}{c |}{col 30}  Linearized
{col 1}            Over{col 18}{c |}       Mean{col 30}   Std. Err.{col 42}     [95% Con{col 55}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{res}onlyinitialright {txt}{c |}
{space 15}0 {c |}{col 18}{res}{space 2} .0935673{col 30}{space 2} .0232575{col 41}{space 5} .0473172{col 55}{space 3} .1398173
{txt}{space 15}1 {c |}{col 18}{res}{space 2} .1557377{col 30}{space 2}   .03765{col 41}{space 5} .0808666{col 55}{space 3} .2306088
{txt}{space 15}2 {c |}{col 18}{res}{space 2}  .380597{col 30}{space 2} .0351123{col 41}{space 5} .3107724{col 55}{space 3} .4504216
{txt}{space 15}3 {c |}{col 18}{res}{space 2} .3407821{col 30}{space 2} .0432557{col 41}{space 5} .2547635{col 55}{space 3} .4268008
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}

{com}. svy: mean onlysignalright, over(conflictcat)
{txt}(running mean on estimation sample)
{res}
{txt}Survey: Mean estimation

{col 1}Number of strata{col 18}= {res}     14{txt}{col 37}Number of obs{col 54}= {res}    740
{txt}{col 1}Number of PSUs{col 18}= {res}     98{txt}{col 37}Population size{col 54}={res}     740
{txt}{col 37}Design df{col 54}= {res}     84

            {txt}0: conflictcat = {res}0
            {txt}1: conflictcat = {res}1
            {txt}2: conflictcat = {res}2
            {txt}3: conflictcat = {res}3

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 17}{c |}{col 29}  Linearized
{col 1}           Over{col 17}{c |}       Mean{col 29}   Std. Err.{col 41}     [95% Con{col 54}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{res}onlysignalright {txt}{c |}
{space 14}0 {c |}{col 17}{res}{space 2} .1111111{col 29}{space 2} .0271275{col 40}{space 5} .0571651{col 54}{space 3} .1650572
{txt}{space 14}1 {c |}{col 17}{res}{space 2} .1803279{col 29}{space 2} .0464823{col 40}{space 5} .0878927{col 54}{space 3} .2727631
{txt}{space 14}2 {c |}{col 17}{res}{space 2} .0746269{col 29}{space 2} .0155098{col 40}{space 5} .0437839{col 54}{space 3} .1054698
{txt}{space 14}3 {c |}{col 17}{res}{space 2} .0726257{col 29}{space 2} .0212173{col 40}{space 5} .0304328{col 54}{space 3} .1148186
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}

{com}. svy: mean bothwrong, over(conflictcat)
{txt}(running mean on estimation sample)
{res}
{txt}Survey: Mean estimation

{col 1}Number of strata{col 18}= {res}     14{txt}{col 37}Number of obs{col 54}= {res}    740
{txt}{col 1}Number of PSUs{col 18}= {res}     98{txt}{col 37}Population size{col 54}={res}     740
{txt}{col 37}Design df{col 54}= {res}     84

            {txt}0: conflictcat = {res}0
            {txt}1: conflictcat = {res}1
            {txt}2: conflictcat = {res}2
            {txt}3: conflictcat = {res}3

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}        Over{col 14}{c |}       Mean{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{res}bothwrong    {txt}{c |}
{space 11}0 {c |}{col 14}{res}{space 2} .0701754{col 26}{space 2} .0232331{col 37}{space 5} .0239739{col 51}{space 3}  .116377
{txt}{space 11}1 {c |}{col 14}{res}{space 2}  .057377{col 26}{space 2} .0259168{col 37}{space 5} .0058387{col 51}{space 3} .1089154
{txt}{space 11}2 {c |}{col 14}{res}{space 2} .0522388{col 26}{space 2} .0129431{col 37}{space 5}    .0265{col 51}{space 3} .0779776
{txt}{space 11}3 {c |}{col 14}{res}{space 2} .0502793{col 26}{space 2} .0220814{col 37}{space 5} .0063681{col 51}{space 3} .0941905
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}

{com}. 
. **Table 1
. logit followalter i.female c.conflict i.samesignal i.hamburg c.period, cluster(subid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -460.9741}  
Iteration 1:{space 3}log pseudolikelihood = {res:-296.11671}  
Iteration 2:{space 3}log pseudolikelihood = {res: -280.7722}  
Iteration 3:{space 3}log pseudolikelihood = {res:-280.18572}  
Iteration 4:{space 3}log pseudolikelihood = {res:-280.18393}  
Iteration 5:{space 3}log pseudolikelihood = {res:-280.18393}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       740
{txt}{col 51}Wald chi2({res}5{txt}){col 67}= {res}     77.09
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-280.18393{txt}{col 51}Pseudo R2{col 67}= {res}    0.3922

{txt}{ralign 78:(Std. Err. adjusted for {res:98} clusters in subid)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} followalter{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2} .7809811{col 26}{space 2}  .300404{col 37}{space 1}    2.60{col 46}{space 3}0.009{col 54}{space 4} .1922001{col 67}{space 3} 1.369762
{txt}{space 4}conflict {c |}{col 14}{res}{space 2}-1.730905{col 26}{space 2}  .433693{col 37}{space 1}   -3.99{col 46}{space 3}0.000{col 54}{space 4}-2.580928{col 67}{space 3}-.8808827
{txt}1.samesignal {c |}{col 14}{res}{space 2} 3.660411{col 26}{space 2} .4495025{col 37}{space 1}    8.14{col 46}{space 3}0.000{col 54}{space 4} 2.779402{col 67}{space 3} 4.541419
{txt}{space 3}1.hamburg {c |}{col 14}{res}{space 2} .1377911{col 26}{space 2} .2798958{col 37}{space 1}    0.49{col 46}{space 3}0.623{col 54}{space 4}-.4107946{col 67}{space 3} .6863768
{txt}{space 6}period {c |}{col 14}{res}{space 2} .0220051{col 26}{space 2} .0257888{col 37}{space 1}    0.85{col 46}{space 3}0.394{col 54}{space 4}-.0285399{col 67}{space 3} .0725502
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.3250235{col 26}{space 2} .3747569{col 37}{space 1}   -0.87{col 46}{space 3}0.386{col 54}{space 4}-1.059534{col 67}{space 3} .4094866
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat ic

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}    Obs    ll(null)   ll(model)     df          AIC         BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 17}  740{col 25}-460.9741{col 37}-280.1839{col 48}    6{col 57} 572.3679{col 69} 600.0078
{txt}{hline 13}{c BT}{hline 63}
{p 15 22 2}
Note:  N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}
{p_end}

{com}. logit followalter i.female##c.conflict##i.samesignal i.hamburg c.period, cluster(subid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -460.9741}  
Iteration 1:{space 3}log pseudolikelihood = {res:-284.48447}  
Iteration 2:{space 3}log pseudolikelihood = {res:-273.65572}  
Iteration 3:{space 3}log pseudolikelihood = {res:-273.12132}  
Iteration 4:{space 3}log pseudolikelihood = {res:-273.11938}  
Iteration 5:{space 3}log pseudolikelihood = {res:-273.11938}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       740
{txt}{col 51}Wald chi2({res}9{txt}){col 67}= {res}    111.63
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-273.11938{txt}{col 51}Pseudo R2{col 67}= {res}    0.4075

{txt}{ralign 94:(Std. Err. adjusted for {res:98} clusters in subid)}
{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42}    Robust
{col 1}                 followalter{col 30}{c |}      Coef.{col 42}   Std. Err.{col 54}      z{col 62}   P>|z|{col 70}     [95% Con{col 83}f. Interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}1.female {c |}{col 30}{res}{space 2} .5366409{col 42}{space 2} .6861751{col 53}{space 1}    0.78{col 62}{space 3}0.434{col 70}{space 4}-.8082375{col 83}{space 3} 1.881519
{txt}{space 20}conflict {c |}{col 30}{res}{space 2}-2.873649{col 42}{space 2} .7534078{col 53}{space 1}   -3.81{col 62}{space 3}0.000{col 70}{space 4}-4.350302{col 83}{space 3}-1.396997
{txt}{space 28} {c |}
{space 11}female#c.conflict {c |}
{space 26}1  {c |}{col 30}{res}{space 2} 1.124034{col 42}{space 2} 1.036192{col 53}{space 1}    1.08{col 62}{space 3}0.278{col 70}{space 4}-.9068656{col 83}{space 3} 3.154933
{txt}{space 28} {c |}
{space 16}1.samesignal {c |}{col 30}{res}{space 2} 2.530814{col 42}{space 2} .8733811{col 53}{space 1}    2.90{col 62}{space 3}0.004{col 70}{space 4} .8190186{col 83}{space 3}  4.24261
{txt}{space 28} {c |}
{space 11}female#samesignal {c |}
{space 24}1 1  {c |}{col 30}{res}{space 2} .3962148{col 42}{space 2} 1.531942{col 53}{space 1}    0.26{col 62}{space 3}0.796{col 70}{space 4}-2.606335{col 83}{space 3} 3.398765
{txt}{space 28} {c |}
{space 7}samesignal#c.conflict {c |}
{space 26}1  {c |}{col 30}{res}{space 2}  3.55963{col 42}{space 2} 1.308522{col 53}{space 1}    2.72{col 62}{space 3}0.007{col 70}{space 4} .9949743{col 83}{space 3} 6.124286
{txt}{space 28} {c |}
female#samesignal#c.conflict {c |}
{space 24}1 1  {c |}{col 30}{res}{space 2}-3.571981{col 42}{space 2} 2.315993{col 53}{space 1}   -1.54{col 62}{space 3}0.123{col 70}{space 4}-8.111244{col 83}{space 3} .9672825
{txt}{space 28} {c |}
{space 19}1.hamburg {c |}{col 30}{res}{space 2} .2095951{col 42}{space 2} .2901856{col 53}{space 1}    0.72{col 62}{space 3}0.470{col 70}{space 4}-.3591581{col 83}{space 3} .7783484
{txt}{space 22}period {c |}{col 30}{res}{space 2} .0212636{col 42}{space 2}  .026779{col 53}{space 1}    0.79{col 62}{space 3}0.427{col 70}{space 4}-.0312224{col 83}{space 3} .0737496
{txt}{space 23}_cons {c |}{col 30}{res}{space 2} .0102299{col 42}{space 2} .5143698{col 53}{space 1}    0.02{col 62}{space 3}0.984{col 70}{space 4}-.9979164{col 83}{space 3} 1.018376
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat ic

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}    Obs    ll(null)   ll(model)     df          AIC         BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 17}  740{col 25}-460.9741{col 37}-273.1194{col 48}   10{col 57} 566.2388{col 69} 612.3053
{txt}{hline 13}{c BT}{hline 63}
{p 15 22 2}
Note:  N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}
{p_end}

{com}. *Figure 3 Values
. margins, dydx(female) at(conflict=0.000 samesignal=0)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(followalter), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:samesignal}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2} .1223284{col 26}{space 2} .1529686{col 37}{space 1}    0.80{col 46}{space 3}0.424{col 54}{space 4}-.1774846{col 67}{space 3} .4221414
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.052 samesignal=0)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(followalter), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.052}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:samesignal}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2} .1396135{col 26}{space 2}  .146779{col 37}{space 1}    0.95{col 46}{space 3}0.342{col 54}{space 4} -.148068{col 67}{space 3} .4272951
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.184 samesignal=0)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(followalter), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.184}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:samesignal}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2} .1818291{col 26}{space 2} .1273685{col 37}{space 1}    1.43{col 46}{space 3}0.153{col 54}{space 4}-.0678085{col 67}{space 3} .4314668
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.319 samesignal=0)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(followalter), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.319}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:samesignal}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2} .2179761{col 26}{space 2} .1061336{col 37}{space 1}    2.05{col 46}{space 3}0.040{col 54}{space 4} .0099581{col 67}{space 3} .4259941
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.336 samesignal=0)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(followalter), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.336}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:samesignal}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2} .2217736{col 26}{space 2} .1036276{col 37}{space 1}    2.14{col 46}{space 3}0.032{col 54}{space 4} .0186671{col 67}{space 3}   .42488
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.551 samesignal=0)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(followalter), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.551}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:samesignal}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2} .2517462{col 26}{space 2}  .080065{col 37}{space 1}    3.14{col 46}{space 3}0.002{col 54}{space 4} .0948217{col 67}{space 3} .4086707
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.686 samesignal=0)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(followalter), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.686}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:samesignal}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2} .2531579{col 26}{space 2} .0746736{col 37}{space 1}    3.39{col 46}{space 3}0.001{col 54}{space 4} .1068003{col 67}{space 3} .3995155
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.703 samesignal=0)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(followalter), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.703}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:samesignal}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2} .2524744{col 26}{space 2}  .074471{col 37}{space 1}    3.39{col 46}{space 3}0.001{col 54}{space 4} .1065139{col 67}{space 3}  .398435
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.821 samesignal=0)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(followalter), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.821}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:samesignal}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}  .243253{col 26}{space 2} .0752465{col 37}{space 1}    3.23{col 46}{space 3}0.001{col 54}{space 4} .0957726{col 67}{space 3} .3907334
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.837 samesignal=0)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(followalter), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.837}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:samesignal}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2} .2414718{col 26}{space 2} .0755771{col 37}{space 1}    3.20{col 46}{space 3}0.001{col 54}{space 4} .0933434{col 67}{space 3} .3896002
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.854 samesignal=0)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(followalter), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.854}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:samesignal}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2} .2394598{col 26}{space 2} .0759693{col 37}{space 1}    3.15{col 46}{space 3}0.002{col 54}{space 4} .0905627{col 67}{space 3}  .388357
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. 
. margins, dydx(female) at(conflict=0.000 samesignal=1)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(followalter), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:samesignal}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2} .0327538{col 26}{space 2}   .03933{col 37}{space 1}    0.83{col 46}{space 3}0.405{col 54}{space 4}-.0443315{col 67}{space 3} .1098391
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.052 samesignal=1)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(followalter), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.052}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:samesignal}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2} .0288167{col 26}{space 2} .0377006{col 37}{space 1}    0.76{col 46}{space 3}0.445{col 54}{space 4}-.0450751{col 67}{space 3} .1027085
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.184 samesignal=1)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(followalter), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.184}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:samesignal}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2} .0181785{col 26}{space 2} .0343283{col 37}{space 1}    0.53{col 46}{space 3}0.596{col 54}{space 4}-.0491038{col 67}{space 3} .0854607
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.319 samesignal=1)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(followalter), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.319}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:samesignal}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2} .0060797{col 26}{space 2} .0317632{col 37}{space 1}    0.19{col 46}{space 3}0.848{col 54}{space 4}-.0561751{col 67}{space 3} .0683345
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.336 samesignal=1)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(followalter), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.336}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:samesignal}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2} .0044503{col 26}{space 2} .0315086{col 37}{space 1}    0.14{col 46}{space 3}0.888{col 54}{space 4}-.0573053{col 67}{space 3} .0662059
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.551 samesignal=1)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(followalter), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.551}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:samesignal}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}-.0187274{col 26}{space 2} .0315371{col 37}{space 1}   -0.59{col 46}{space 3}0.553{col 54}{space 4} -.080539{col 67}{space 3} .0430842
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.686 samesignal=1)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(followalter), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.686}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:samesignal}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}-.0362777{col 26}{space 2} .0386482{col 37}{space 1}   -0.94{col 46}{space 3}0.348{col 54}{space 4}-.1120269{col 67}{space 3} .0394714
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.703 samesignal=1)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(followalter), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.703}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:samesignal}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}-.0386848{col 26}{space 2} .0401708{col 37}{space 1}   -0.96{col 46}{space 3}0.336{col 54}{space 4}-.1174182{col 67}{space 3} .0400486
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.821 samesignal=1)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(followalter), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.821}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:samesignal}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}-.0567685{col 26}{space 2} .0552024{col 37}{space 1}   -1.03{col 46}{space 3}0.304{col 54}{space 4}-.1649632{col 67}{space 3} .0514262
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.837 samesignal=1)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(followalter), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.837}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:samesignal}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}-.0594181{col 26}{space 2} .0578629{col 37}{space 1}   -1.03{col 46}{space 3}0.304{col 54}{space 4}-.1728273{col 67}{space 3}  .053991
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.854 samesignal=1)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(followalter), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.854}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:samesignal}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}-.0622884{col 26}{space 2} .0608565{col 37}{space 1}   -1.02{col 46}{space 3}0.306{col 54}{space 4} -.181565{col 67}{space 3} .0569882
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. 
. **Table 2
. logit finalcorrect i.female##c.conflict hamburg period, cluster(subid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-363.25984}  
Iteration 1:{space 3}log pseudolikelihood = {res:-352.78401}  
Iteration 2:{space 3}log pseudolikelihood = {res: -352.5476}  
Iteration 3:{space 3}log pseudolikelihood = {res:-352.54752}  
Iteration 4:{space 3}log pseudolikelihood = {res:-352.54752}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       740
{txt}{col 51}Wald chi2({res}5{txt}){col 67}= {res}     14.52
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0126
{txt}Log pseudolikelihood = {res}-352.54752{txt}{col 51}Pseudo R2{col 67}= {res}    0.0295

{txt}{ralign 83:(Std. Err. adjusted for {res:98} clusters in subid)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     finalcorrect{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.female {c |}{col 19}{res}{space 2} .6907326{col 31}{space 2} .4218489{col 42}{space 1}    1.64{col 51}{space 3}0.102{col 59}{space 4} -.136076{col 72}{space 3} 1.517541
{txt}{space 9}conflict {c |}{col 19}{res}{space 2} .5825535{col 31}{space 2} .5167248{col 42}{space 1}    1.13{col 51}{space 3}0.260{col 59}{space 4}-.4302084{col 72}{space 3} 1.595315
{txt}{space 17} {c |}
female#c.conflict {c |}
{space 15}1  {c |}{col 19}{res}{space 2}-2.183722{col 31}{space 2} .7374422{col 42}{space 1}   -2.96{col 51}{space 3}0.003{col 59}{space 4}-3.629082{col 72}{space 3}-.7383618
{txt}{space 17} {c |}
{space 10}hamburg {c |}{col 19}{res}{space 2} .1173749{col 31}{space 2} .2402474{col 42}{space 1}    0.49{col 51}{space 3}0.625{col 59}{space 4}-.3535013{col 72}{space 3}  .588251
{txt}{space 11}period {c |}{col 19}{res}{space 2}-.0137668{col 31}{space 2} .0211229{col 42}{space 1}   -0.65{col 51}{space 3}0.515{col 59}{space 4}-.0551669{col 72}{space 3} .0276333
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 1.453009{col 31}{space 2} .3385229{col 42}{space 1}    4.29{col 51}{space 3}0.000{col 59}{space 4}  .789516{col 72}{space 3} 2.116501
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat ic

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}    Obs    ll(null)   ll(model)     df          AIC         BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 17}  740{col 25}-363.2598{col 37}-352.5475{col 48}    6{col 57}  717.095{col 69} 744.7349
{txt}{hline 13}{c BT}{hline 63}
{p 15 22 2}
Note:  N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}
{p_end}

{com}. *Figure 4 Values
. margins, dydx(female) at(conflict=0.000)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(finalcorrect), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}  .086771{col 26}{space 2} .0523099{col 37}{space 1}    1.66{col 46}{space 3}0.097{col 54}{space 4}-.0157544{col 67}{space 3} .1892965
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.052)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(finalcorrect), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.052}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2} .0737477{col 26}{space 2} .0489079{col 37}{space 1}    1.51{col 46}{space 3}0.132{col 54}{space 4}-.0221099{col 67}{space 3} .1696054
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.184)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(finalcorrect), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.184}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2} .0385737{col 26}{space 2}  .041352{col 37}{space 1}    0.93{col 46}{space 3}0.351{col 54}{space 4}-.0424748{col 67}{space 3} .1196222
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.319)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(finalcorrect), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.319}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}-.0008208{col 26}{space 2} .0356655{col 37}{space 1}   -0.02{col 46}{space 3}0.982{col 54}{space 4}-.0707239{col 67}{space 3} .0690822
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.336)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(finalcorrect), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.336}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}-.0060424{col 26}{space 2} .0351513{col 37}{space 1}   -0.17{col 46}{space 3}0.864{col 54}{space 4}-.0749377{col 67}{space 3} .0628529
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.551)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(finalcorrect), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.551}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}-.0773608{col 26}{space 2}    .0349{col 37}{space 1}   -2.22{col 46}{space 3}0.027{col 54}{space 4}-.1457635{col 67}{space 3}-.0089582
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.686)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(finalcorrect), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.686}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}-.1271864{col 26}{space 2} .0421435{col 37}{space 1}   -3.02{col 46}{space 3}0.003{col 54}{space 4}-.2097861{col 67}{space 3}-.0445868
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.703)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(finalcorrect), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.703}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}-.1337291{col 26}{space 2} .0434498{col 37}{space 1}   -3.08{col 46}{space 3}0.002{col 54}{space 4}-.2188892{col 67}{space 3}-.0485691
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.821)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(finalcorrect), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.821}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}-.1806987{col 26}{space 2}  .054503{col 37}{space 1}   -3.32{col 46}{space 3}0.001{col 54}{space 4}-.2875226{col 67}{space 3}-.0738748
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.837)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(finalcorrect), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.837}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}-.1872663{col 26}{space 2} .0562315{col 37}{space 1}   -3.33{col 46}{space 3}0.001{col 54}{space 4} -.297478{col 67}{space 3}-.0770546
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.854)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(finalcorrect), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.854}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}-.1942931{col 26}{space 2} .0581184{col 37}{space 1}   -3.34{col 46}{space 3}0.001{col 54}{space 4}-.3082031{col 67}{space 3} -.080383
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. 
. **Appendix 4 Figure 2 Bars 3-6
. svy: mean turnout if informed==1, over(female)
{txt}(running mean on estimation sample)
{res}
{txt}Survey: Mean estimation

{col 1}Number of strata{col 18}= {res}     14{txt}{col 37}Number of obs{col 54}= {res}    730
{txt}{col 1}Number of PSUs{col 18}= {res}     98{txt}{col 37}Population size{col 54}={res}     730
{txt}{col 37}Design df{col 54}= {res}     84

            {txt}0: female = {res}0
            {txt}1: female = {res}1

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}        Over{col 14}{c |}       Mean{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{res}turnout      {txt}{c |}
{space 11}0 {c |}{col 14}{res}{space 2} .5449591{col 26}{space 2} .0487573{col 37}{space 5} .4479999{col 51}{space 3} .6419184
{txt}{space 11}1 {c |}{col 14}{res}{space 2} .5096419{col 26}{space 2} .0526352{col 37}{space 5}  .404971{col 51}{space 3} .6143127
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}

{com}. test [turnout]0=[turnout]1

{txt}Adjusted Wald test

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[turnout]0 - [turnout]1 = 0{p_end}

{txt}       F(  1,    84) ={res}    0.24
{txt}{col 13}Prob > F ={res}    0.6257
{txt}
{com}. svy: mean turnout if informed==0, over(female)
{txt}(running mean on estimation sample)
{res}
{txt}Survey: Mean estimation

{col 1}Number of strata{col 18}= {res}     14{txt}{col 37}Number of obs{col 54}= {res}    740
{txt}{col 1}Number of PSUs{col 18}= {res}     98{txt}{col 37}Population size{col 54}={res}     740
{txt}{col 37}Design df{col 54}= {res}     84

            {txt}0: female = {res}0
            {txt}1: female = {res}1

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}        Over{col 14}{c |}       Mean{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{res}turnout      {txt}{c |}
{space 11}0 {c |}{col 14}{res}{space 2} .5679348{col 26}{space 2} .0600967{col 37}{space 5} .4484259{col 51}{space 3} .6874436
{txt}{space 11}1 {c |}{col 14}{res}{space 2} .3817204{col 26}{space 2} .0502891{col 37}{space 5}  .281715{col 51}{space 3} .4817259
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}

{com}. test [turnout]0=[turnout]1

{txt}Adjusted Wald test

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[turnout]0 - [turnout]1 = 0{p_end}

{txt}       F(  1,    84) ={res}    5.37
{txt}{col 13}Prob > F ={res}    0.0229
{txt}
{com}. 
. 
. **Appendix 5 Table 1
. *Credible Messenger
. regr vsexante2 i.female##c.conflict hamburg period if informed==0, cluster(subid)

{txt}Linear regression                                      Number of obs ={res}     740
                                                       {txt}F(  5,    97) ={res}    7.87
                                                       {txt}Prob > F      = {res} 0.0000
                                                       {txt}R-squared     = {res} 0.0420
                                                       {txt}Root MSE      = {res} 38.441

{txt}{ralign 83:(Std. Err. adjusted for {res:98} clusters in subid)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}        vsexante2{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.female {c |}{col 19}{res}{space 2} 8.431049{col 31}{space 2} 5.518286{col 42}{space 1}    1.53{col 51}{space 3}0.130{col 59}{space 4}-2.521222{col 72}{space 3} 19.38332
{txt}{space 9}conflict {c |}{col 19}{res}{space 2}-8.443314{col 31}{space 2} 6.266834{col 42}{space 1}   -1.35{col 51}{space 3}0.181{col 59}{space 4}-20.88124{col 72}{space 3} 3.994616
{txt}{space 17} {c |}
female#c.conflict {c |}
{space 15}1  {c |}{col 19}{res}{space 2}-26.54117{col 31}{space 2} 8.525201{col 42}{space 1}   -3.11{col 51}{space 3}0.002{col 59}{space 4}-43.46133{col 72}{space 3}-9.621003
{txt}{space 17} {c |}
{space 10}hamburg {c |}{col 19}{res}{space 2} 1.386239{col 31}{space 2} 3.315049{col 42}{space 1}    0.42{col 51}{space 3}0.677{col 59}{space 4}-5.193217{col 72}{space 3} 7.965694
{txt}{space 11}period {c |}{col 19}{res}{space 2} -.104506{col 31}{space 2} .3397629{col 42}{space 1}   -0.31{col 51}{space 3}0.759{col 59}{space 4}-.7788413{col 72}{space 3} .5698293
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}  2.50196{col 31}{space 2} 5.783622{col 42}{space 1}    0.43{col 51}{space 3}0.666{col 59}{space 4}-8.976929{col 72}{space 3} 13.98085
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *Ignore Signal
. regr vsexante i.female##c.conflict hamburg period if informed==0, cluster(subid)

{txt}Linear regression                                      Number of obs ={res}     740
                                                       {txt}F(  5,    97) ={res}    2.75
                                                       {txt}Prob > F      = {res} 0.0228
                                                       {txt}R-squared     = {res} 0.0221
                                                       {txt}Root MSE      = {res} 33.896

{txt}{ralign 83:(Std. Err. adjusted for {res:98} clusters in subid)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}         vsexante{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.female {c |}{col 19}{res}{space 2} 6.695954{col 31}{space 2}  3.87408{col 42}{space 1}    1.73{col 51}{space 3}0.087{col 59}{space 4}-.9930235{col 72}{space 3} 14.38493
{txt}{space 9}conflict {c |}{col 19}{res}{space 2} 2.783825{col 31}{space 2} 4.162276{col 42}{space 1}    0.67{col 51}{space 3}0.505{col 59}{space 4}-5.477141{col 72}{space 3} 11.04479
{txt}{space 17} {c |}
female#c.conflict {c |}
{space 15}1  {c |}{col 19}{res}{space 2}-22.97427{col 31}{space 2} 7.157894{col 42}{space 1}   -3.21{col 51}{space 3}0.002{col 59}{space 4}-37.18071{col 72}{space 3} -8.76783
{txt}{space 17} {c |}
{space 10}hamburg {c |}{col 19}{res}{space 2}-.3865185{col 31}{space 2} 2.928106{col 42}{space 1}   -0.13{col 51}{space 3}0.895{col 59}{space 4}-6.197998{col 72}{space 3} 5.424961
{txt}{space 11}period {c |}{col 19}{res}{space 2} .2617167{col 31}{space 2} .3169757{col 42}{space 1}    0.83{col 51}{space 3}0.411{col 59}{space 4}-.3673924{col 72}{space 3} .8908257
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-9.014284{col 31}{space 2} 3.736114{col 42}{space 1}   -2.41{col 51}{space 3}0.018{col 59}{space 4}-16.42944{col 72}{space 3}-1.599131
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Apendix 5 Figure 3 Values
. *Credible Messenger
. regr vsexante2 i.female##c.conflict hamburg period if informed==0, cluster(subid)

{txt}Linear regression                                      Number of obs ={res}     740
                                                       {txt}F(  5,    97) ={res}    7.87
                                                       {txt}Prob > F      = {res} 0.0000
                                                       {txt}R-squared     = {res} 0.0420
                                                       {txt}Root MSE      = {res} 38.441

{txt}{ralign 83:(Std. Err. adjusted for {res:98} clusters in subid)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}        vsexante2{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.female {c |}{col 19}{res}{space 2} 8.431049{col 31}{space 2} 5.518286{col 42}{space 1}    1.53{col 51}{space 3}0.130{col 59}{space 4}-2.521222{col 72}{space 3} 19.38332
{txt}{space 9}conflict {c |}{col 19}{res}{space 2}-8.443314{col 31}{space 2} 6.266834{col 42}{space 1}   -1.35{col 51}{space 3}0.181{col 59}{space 4}-20.88124{col 72}{space 3} 3.994616
{txt}{space 17} {c |}
female#c.conflict {c |}
{space 15}1  {c |}{col 19}{res}{space 2}-26.54117{col 31}{space 2} 8.525201{col 42}{space 1}   -3.11{col 51}{space 3}0.002{col 59}{space 4}-43.46133{col 72}{space 3}-9.621003
{txt}{space 17} {c |}
{space 10}hamburg {c |}{col 19}{res}{space 2} 1.386239{col 31}{space 2} 3.315049{col 42}{space 1}    0.42{col 51}{space 3}0.677{col 59}{space 4}-5.193217{col 72}{space 3} 7.965694
{txt}{space 11}period {c |}{col 19}{res}{space 2} -.104506{col 31}{space 2} .3397629{col 42}{space 1}   -0.31{col 51}{space 3}0.759{col 59}{space 4}-.7788413{col 72}{space 3} .5698293
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}  2.50196{col 31}{space 2} 5.783622{col 42}{space 1}    0.43{col 51}{space 3}0.666{col 59}{space 4}-8.976929{col 72}{space 3} 13.98085
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.000)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2} 8.431049{col 26}{space 2} 5.518286{col 37}{space 1}    1.53{col 46}{space 3}0.130{col 54}{space 4}-2.521222{col 67}{space 3} 19.38332
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.052)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.052}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2} 7.050908{col 26}{space 2} 5.161109{col 37}{space 1}    1.37{col 46}{space 3}0.175{col 54}{space 4}-3.192464{col 67}{space 3} 17.29428
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.184)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.184}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2} 3.547474{col 26}{space 2}   4.3266{col 37}{space 1}    0.82{col 46}{space 3}0.414{col 54}{space 4} -5.03963{col 67}{space 3} 12.13458
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.319)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.319}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}-.0355832{col 26}{space 2}  3.63891{col 37}{space 1}   -0.01{col 46}{space 3}0.992{col 54}{space 4}-7.257812{col 67}{space 3} 7.186646
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.336)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.336}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}-.4867827{col 26}{space 2} 3.569267{col 37}{space 1}   -0.14{col 46}{space 3}0.892{col 54}{space 4}-7.570791{col 67}{space 3} 6.597225
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.551)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.551}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}-6.193134{col 26}{space 2} 3.164829{col 37}{space 1}   -1.96{col 46}{space 3}0.053{col 54}{space 4}-12.47444{col 67}{space 3} .0881752
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.686)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.686}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}-9.776191{col 26}{space 2} 3.426383{col 37}{space 1}   -2.85{col 46}{space 3}0.005{col 54}{space 4}-16.57661{col 67}{space 3}-2.975769
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.703)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.703}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}-10.22739{col 26}{space 2} 3.484967{col 37}{space 1}   -2.93{col 46}{space 3}0.004{col 54}{space 4}-17.14409{col 67}{space 3}-3.310696
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.821)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.821}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}-13.35925{col 26}{space 2} 4.014127{col 37}{space 1}   -3.33{col 46}{space 3}0.001{col 54}{space 4}-21.32618{col 67}{space 3}-5.392317
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.837)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.837}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}-13.78391{col 26}{space 2} 4.099647{col 37}{space 1}   -3.36{col 46}{space 3}0.001{col 54}{space 4}-21.92057{col 67}{space 3}-5.647244
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.854)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.854}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}-14.23511{col 26}{space 2} 4.193463{col 37}{space 1}   -3.39{col 46}{space 3}0.001{col 54}{space 4}-22.55797{col 67}{space 3}-5.912244
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. *Ignore Signal
. regr vsexante i.female##c.conflict hamburg period if informed==0, cluster(subid)

{txt}Linear regression                                      Number of obs ={res}     740
                                                       {txt}F(  5,    97) ={res}    2.75
                                                       {txt}Prob > F      = {res} 0.0228
                                                       {txt}R-squared     = {res} 0.0221
                                                       {txt}Root MSE      = {res} 33.896

{txt}{ralign 83:(Std. Err. adjusted for {res:98} clusters in subid)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}         vsexante{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.female {c |}{col 19}{res}{space 2} 6.695954{col 31}{space 2}  3.87408{col 42}{space 1}    1.73{col 51}{space 3}0.087{col 59}{space 4}-.9930235{col 72}{space 3} 14.38493
{txt}{space 9}conflict {c |}{col 19}{res}{space 2} 2.783825{col 31}{space 2} 4.162276{col 42}{space 1}    0.67{col 51}{space 3}0.505{col 59}{space 4}-5.477141{col 72}{space 3} 11.04479
{txt}{space 17} {c |}
female#c.conflict {c |}
{space 15}1  {c |}{col 19}{res}{space 2}-22.97427{col 31}{space 2} 7.157894{col 42}{space 1}   -3.21{col 51}{space 3}0.002{col 59}{space 4}-37.18071{col 72}{space 3} -8.76783
{txt}{space 17} {c |}
{space 10}hamburg {c |}{col 19}{res}{space 2}-.3865185{col 31}{space 2} 2.928106{col 42}{space 1}   -0.13{col 51}{space 3}0.895{col 59}{space 4}-6.197998{col 72}{space 3} 5.424961
{txt}{space 11}period {c |}{col 19}{res}{space 2} .2617167{col 31}{space 2} .3169757{col 42}{space 1}    0.83{col 51}{space 3}0.411{col 59}{space 4}-.3673924{col 72}{space 3} .8908257
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-9.014284{col 31}{space 2} 3.736114{col 42}{space 1}   -2.41{col 51}{space 3}0.018{col 59}{space 4}-16.42944{col 72}{space 3}-1.599131
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.000)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2} 6.695954{col 26}{space 2}  3.87408{col 37}{space 1}    1.73{col 46}{space 3}0.087{col 54}{space 4}-.9930235{col 67}{space 3} 14.38493
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.052)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.052}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2} 5.501292{col 26}{space 2} 3.616821{col 37}{space 1}    1.52{col 46}{space 3}0.132{col 54}{space 4}-1.677097{col 67}{space 3} 12.67968
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.184)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.184}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2} 2.468688{col 26}{space 2} 3.071468{col 37}{space 1}    0.80{col 46}{space 3}0.424{col 54}{space 4}-3.627326{col 67}{space 3} 8.564703
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.319)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.319}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2} -.632838{col 26}{space 2} 2.747786{col 37}{space 1}   -0.23{col 46}{space 3}0.818{col 54}{space 4}-6.086432{col 67}{space 3} 4.820756
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.336)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.336}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}  -1.0234{col 26}{space 2} 2.728649{col 37}{space 1}   -0.38{col 46}{space 3}0.708{col 54}{space 4}-6.439013{col 67}{space 3} 4.392213
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.551)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.551}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}-5.962868{col 26}{space 2} 2.945459{col 37}{space 1}   -2.02{col 46}{space 3}0.046{col 54}{space 4}-11.80879{col 67}{space 3}-.1169468
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.686)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.686}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}-9.064394{col 26}{space 2}  3.44515{col 37}{space 1}   -2.63{col 46}{space 3}0.010{col 54}{space 4}-15.90206{col 67}{space 3}-2.226725
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.703)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.703}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}-9.454957{col 26}{space 2} 3.521871{col 37}{space 1}   -2.68{col 46}{space 3}0.009{col 54}{space 4} -16.4449{col 67}{space 3}-2.465018
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.821)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.821}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}-12.16592{col 26}{space 2} 4.114598{col 37}{space 1}   -2.96{col 46}{space 3}0.004{col 54}{space 4}-20.33226{col 67}{space 3}-3.999581
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.837)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.837}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}-12.53351{col 26}{space 2} 4.201608{col 37}{space 1}   -2.98{col 46}{space 3}0.004{col 54}{space 4}-20.87254{col 67}{space 3} -4.19448
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(female) at(conflict=0.854)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.854}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.female {c |}{col 14}{res}{space 2}-12.92407{col 26}{space 2} 4.295471{col 37}{space 1}   -3.01{col 46}{space 3}0.003{col 54}{space 4}-21.44939{col 67}{space 3}-4.398751
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. 
. **Apendix 5 Figure 4 Values
. *Credible Messenger
. regr vsexante2 i.female##c.conflict hamburg period if informed==0, cluster(subid)

{txt}Linear regression                                      Number of obs ={res}     740
                                                       {txt}F(  5,    97) ={res}    7.87
                                                       {txt}Prob > F      = {res} 0.0000
                                                       {txt}R-squared     = {res} 0.0420
                                                       {txt}Root MSE      = {res} 38.441

{txt}{ralign 83:(Std. Err. adjusted for {res:98} clusters in subid)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}        vsexante2{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.female {c |}{col 19}{res}{space 2} 8.431049{col 31}{space 2} 5.518286{col 42}{space 1}    1.53{col 51}{space 3}0.130{col 59}{space 4}-2.521222{col 72}{space 3} 19.38332
{txt}{space 9}conflict {c |}{col 19}{res}{space 2}-8.443314{col 31}{space 2} 6.266834{col 42}{space 1}   -1.35{col 51}{space 3}0.181{col 59}{space 4}-20.88124{col 72}{space 3} 3.994616
{txt}{space 17} {c |}
female#c.conflict {c |}
{space 15}1  {c |}{col 19}{res}{space 2}-26.54117{col 31}{space 2} 8.525201{col 42}{space 1}   -3.11{col 51}{space 3}0.002{col 59}{space 4}-43.46133{col 72}{space 3}-9.621003
{txt}{space 17} {c |}
{space 10}hamburg {c |}{col 19}{res}{space 2} 1.386239{col 31}{space 2} 3.315049{col 42}{space 1}    0.42{col 51}{space 3}0.677{col 59}{space 4}-5.193217{col 72}{space 3} 7.965694
{txt}{space 11}period {c |}{col 19}{res}{space 2} -.104506{col 31}{space 2} .3397629{col 42}{space 1}   -0.31{col 51}{space 3}0.759{col 59}{space 4}-.7788413{col 72}{space 3} .5698293
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}  2.50196{col 31}{space 2} 5.783622{col 42}{space 1}    0.43{col 51}{space 3}0.666{col 59}{space 4}-8.976929{col 72}{space 3} 13.98085
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins female, at(conflict=0.000)
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}female {c |}
{space 10}0  {c |}{col 14}{res}{space 2} 2.558523{col 26}{space 2} 4.668581{col 37}{space 1}    0.55{col 46}{space 3}0.585{col 54}{space 4}-6.707319{col 67}{space 3} 11.82436
{txt}{space 10}1  {c |}{col 14}{res}{space 2} 10.98957{col 26}{space 2} 2.942217{col 37}{space 1}    3.74{col 46}{space 3}0.000{col 54}{space 4} 5.150085{col 67}{space 3} 16.82906
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins female, at(conflict=0.052)
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.052}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}female {c |}
{space 10}0  {c |}{col 14}{res}{space 2}  2.11947{col 26}{space 2} 4.380477{col 37}{space 1}    0.48{col 46}{space 3}0.630{col 54}{space 4}-6.574565{col 67}{space 3} 10.81351
{txt}{space 10}1  {c |}{col 14}{res}{space 2} 9.170379{col 26}{space 2} 2.731821{col 37}{space 1}    3.36{col 46}{space 3}0.001{col 54}{space 4}  3.74847{col 67}{space 3} 14.59229
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins female, at(conflict=0.184)
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.184}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}female {c |}
{space 10}0  {c |}{col 14}{res}{space 2} 1.004953{col 26}{space 2} 3.677568{col 37}{space 1}    0.27{col 46}{space 3}0.785{col 54}{space 4}-6.294002{col 67}{space 3} 8.303907
{txt}{space 10}1  {c |}{col 14}{res}{space 2} 4.552427{col 26}{space 2} 2.287714{col 37}{space 1}    1.99{col 46}{space 3}0.049{col 54}{space 4} .0119492{col 67}{space 3} 9.092905
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins female, at(conflict=0.319)
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.319}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}female {c |}
{space 10}0  {c |}{col 14}{res}{space 2}-.1348946{col 26}{space 2} 3.024451{col 37}{space 1}   -0.04{col 46}{space 3}0.965{col 54}{space 4}-6.137593{col 67}{space 3} 5.867804
{txt}{space 10}1  {c |}{col 14}{res}{space 2}-.1704778{col 26}{space 2} 2.035382{col 37}{space 1}   -0.08{col 46}{space 3}0.933{col 54}{space 4}-4.210148{col 67}{space 3} 3.869192
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins female, at(conflict=0.336)
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.336}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}female {c |}
{space 10}0  {c |}{col 14}{res}{space 2}-.2784309{col 26}{space 2} 2.949167{col 37}{space 1}   -0.09{col 46}{space 3}0.925{col 54}{space 4}-6.131711{col 67}{space 3} 5.574849
{txt}{space 10}1  {c |}{col 14}{res}{space 2}-.7652136{col 26}{space 2} 2.022536{col 37}{space 1}   -0.38{col 46}{space 3}0.706{col 54}{space 4}-4.779388{col 67}{space 3} 3.248961
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins female, at(conflict=0.551)
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.551}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}female {c |}
{space 10}0  {c |}{col 14}{res}{space 2}-2.093743{col 26}{space 2} 2.229099{col 37}{space 1}   -0.94{col 46}{space 3}0.350{col 54}{space 4}-6.517889{col 67}{space 3} 2.330402
{txt}{space 10}1  {c |}{col 14}{res}{space 2}-8.286877{col 26}{space 2} 2.253174{col 37}{space 1}   -3.68{col 46}{space 3}0.000{col 54}{space 4} -12.7588{col 67}{space 3}-3.814951
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins female, at(conflict=0.686)
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.686}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}female {c |}
{space 10}0  {c |}{col 14}{res}{space 2}-3.233591{col 26}{space 2} 2.117372{col 37}{space 1}   -1.53{col 46}{space 3}0.130{col 54}{space 4}-7.435988{col 67}{space 3}  .968807
{txt}{space 10}1  {c |}{col 14}{res}{space 2}-13.00978{col 26}{space 2} 2.693444{col 37}{space 1}   -4.83{col 46}{space 3}0.000{col 54}{space 4}-18.35552{col 67}{space 3}-7.664041
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins female, at(conflict=0.703)
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.703}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}female {c |}
{space 10}0  {c |}{col 14}{res}{space 2}-3.377127{col 26}{space 2} 2.126875{col 37}{space 1}   -1.59{col 46}{space 3}0.116{col 54}{space 4}-7.598384{col 67}{space 3} .8441299
{txt}{space 10}1  {c |}{col 14}{res}{space 2}-13.60452{col 26}{space 2} 2.759371{col 37}{space 1}   -4.93{col 46}{space 3}0.000{col 54}{space 4}-19.08111{col 67}{space 3}-8.127931
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins female, at(conflict=0.821)
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.821}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}female {c |}
{space 10}0  {c |}{col 14}{res}{space 2}-4.373438{col 26}{space 2} 2.330055{col 37}{space 1}   -1.88{col 46}{space 3}0.064{col 54}{space 4}-8.997951{col 67}{space 3} .2510754
{txt}{space 10}1  {c |}{col 14}{res}{space 2}-17.73269{col 26}{space 2} 3.261115{col 37}{space 1}   -5.44{col 46}{space 3}0.000{col 54}{space 4} -24.2051{col 67}{space 3}-11.26028
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins female, at(conflict=0.837)
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.837}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}female {c |}
{space 10}0  {c |}{col 14}{res}{space 2}-4.508531{col 26}{space 2} 2.374057{col 37}{space 1}   -1.90{col 46}{space 3}0.061{col 54}{space 4}-9.220376{col 67}{space 3} .2033137
{txt}{space 10}1  {c |}{col 14}{res}{space 2}-18.29244{col 26}{space 2} 3.333945{col 37}{space 1}   -5.49{col 46}{space 3}0.000{col 54}{space 4} -24.9094{col 67}{space 3}-11.67548
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins female, at(conflict=0.854)
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.854}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}female {c |}
{space 10}0  {c |}{col 14}{res}{space 2}-4.652067{col 26}{space 2}  2.42448{col 37}{space 1}   -1.92{col 46}{space 3}0.058{col 54}{space 4}-9.463989{col 67}{space 3}  .159854
{txt}{space 10}1  {c |}{col 14}{res}{space 2}-18.88717{col 26}{space 2} 3.412335{col 37}{space 1}   -5.53{col 46}{space 3}0.000{col 54}{space 4}-25.65971{col 67}{space 3}-12.11463
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *Ignore Signal
. regr vsexante i.female##c.conflict hamburg period if informed==0, cluster(subid)

{txt}Linear regression                                      Number of obs ={res}     740
                                                       {txt}F(  5,    97) ={res}    2.75
                                                       {txt}Prob > F      = {res} 0.0228
                                                       {txt}R-squared     = {res} 0.0221
                                                       {txt}Root MSE      = {res} 33.896

{txt}{ralign 83:(Std. Err. adjusted for {res:98} clusters in subid)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}         vsexante{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.female {c |}{col 19}{res}{space 2} 6.695954{col 31}{space 2}  3.87408{col 42}{space 1}    1.73{col 51}{space 3}0.087{col 59}{space 4}-.9930235{col 72}{space 3} 14.38493
{txt}{space 9}conflict {c |}{col 19}{res}{space 2} 2.783825{col 31}{space 2} 4.162276{col 42}{space 1}    0.67{col 51}{space 3}0.505{col 59}{space 4}-5.477141{col 72}{space 3} 11.04479
{txt}{space 17} {c |}
female#c.conflict {c |}
{space 15}1  {c |}{col 19}{res}{space 2}-22.97427{col 31}{space 2} 7.157894{col 42}{space 1}   -3.21{col 51}{space 3}0.002{col 59}{space 4}-37.18071{col 72}{space 3} -8.76783
{txt}{space 17} {c |}
{space 10}hamburg {c |}{col 19}{res}{space 2}-.3865185{col 31}{space 2} 2.928106{col 42}{space 1}   -0.13{col 51}{space 3}0.895{col 59}{space 4}-6.197998{col 72}{space 3} 5.424961
{txt}{space 11}period {c |}{col 19}{res}{space 2} .2617167{col 31}{space 2} .3169757{col 42}{space 1}    0.83{col 51}{space 3}0.411{col 59}{space 4}-.3673924{col 72}{space 3} .8908257
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-9.014284{col 31}{space 2} 3.736114{col 42}{space 1}   -2.41{col 51}{space 3}0.018{col 59}{space 4}-16.42944{col 72}{space 3}-1.599131
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins female, at(conflict=0.000)
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}female {c |}
{space 10}0  {c |}{col 14}{res}{space 2}-7.163148{col 26}{space 2} 2.487702{col 37}{space 1}   -2.88{col 46}{space 3}0.005{col 54}{space 4}-12.10055{col 67}{space 3}-2.225749
{txt}{space 10}1  {c |}{col 14}{res}{space 2}-.4671939{col 26}{space 2} 2.979536{col 37}{space 1}   -0.16{col 46}{space 3}0.876{col 54}{space 4}-6.380748{col 67}{space 3}  5.44636
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins female, at(conflict=0.052)
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.052}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}female {c |}
{space 10}0  {c |}{col 14}{res}{space 2}-7.018389{col 26}{space 2} 2.340257{col 37}{space 1}   -3.00{col 46}{space 3}0.003{col 54}{space 4}-11.66315{col 67}{space 3}-2.373626
{txt}{space 10}1  {c |}{col 14}{res}{space 2}-1.517097{col 26}{space 2} 2.768131{col 37}{space 1}   -0.55{col 46}{space 3}0.585{col 54}{space 4}-7.011071{col 67}{space 3} 3.976877
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins female, at(conflict=0.184)
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.184}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}female {c |}
{space 10}0  {c |}{col 14}{res}{space 2}-6.650924{col 26}{space 2} 2.022515{col 37}{space 1}   -3.29{col 46}{space 3}0.001{col 54}{space 4}-10.66506{col 67}{space 3}-2.636791
{txt}{space 10}1  {c |}{col 14}{res}{space 2}-4.182236{col 26}{space 2}  2.32312{col 37}{space 1}   -1.80{col 46}{space 3}0.075{col 54}{space 4}-8.792985{col 67}{space 3} .4285137
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins female, at(conflict=0.319)
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.319}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}female {c |}
{space 10}0  {c |}{col 14}{res}{space 2}-6.275108{col 26}{space 2} 1.815844{col 37}{space 1}   -3.46{col 46}{space 3}0.001{col 54}{space 4}-9.879056{col 67}{space 3} -2.67116
{txt}{space 10}1  {c |}{col 14}{res}{space 2}-6.907945{col 26}{space 2} 2.072401{col 37}{space 1}   -3.33{col 46}{space 3}0.001{col 54}{space 4}-11.02109{col 67}{space 3}-2.794803
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins female, at(conflict=0.336)
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.336}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}female {c |}
{space 10}0  {c |}{col 14}{res}{space 2}-6.227783{col 26}{space 2} 1.800601{col 37}{space 1}   -3.46{col 46}{space 3}0.001{col 54}{space 4}-9.801476{col 67}{space 3}-2.654089
{txt}{space 10}1  {c |}{col 14}{res}{space 2}-7.251183{col 26}{space 2} 2.059898{col 37}{space 1}   -3.52{col 46}{space 3}0.001{col 54}{space 4}-11.33951{col 67}{space 3}-3.162855
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins female, at(conflict=0.551)
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.551}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}female {c |}
{space 10}0  {c |}{col 14}{res}{space 2} -5.62926{col 26}{space 2} 1.846377{col 37}{space 1}   -3.05{col 46}{space 3}0.003{col 54}{space 4}-9.293807{col 67}{space 3}-1.964713
{txt}{space 10}1  {c |}{col 14}{res}{space 2}-11.59213{col 26}{space 2} 2.295927{col 37}{space 1}   -5.05{col 46}{space 3}0.000{col 54}{space 4}-16.14891{col 67}{space 3} -7.03535
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins female, at(conflict=0.686)
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.686}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}female {c |}
{space 10}0  {c |}{col 14}{res}{space 2}-5.253444{col 26}{space 2}  2.08147{col 37}{space 1}   -2.52{col 46}{space 3}0.013{col 54}{space 4}-9.384586{col 67}{space 3}-1.122302
{txt}{space 10}1  {c |}{col 14}{res}{space 2}-14.31784{col 26}{space 2}  2.74038{col 37}{space 1}   -5.22{col 46}{space 3}0.000{col 54}{space 4}-19.75673{col 67}{space 3}-8.878942
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins female, at(conflict=0.703)
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.703}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}female {c |}
{space 10}0  {c |}{col 14}{res}{space 2}-5.206119{col 26}{space 2} 2.119803{col 37}{space 1}   -2.46{col 46}{space 3}0.016{col 54}{space 4}-9.413342{col 67}{space 3}-.9988959
{txt}{space 10}1  {c |}{col 14}{res}{space 2}-14.66108{col 26}{space 2} 2.806896{col 37}{space 1}   -5.22{col 46}{space 3}0.000{col 54}{space 4}-20.23199{col 67}{space 3}-9.090164
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins female, at(conflict=0.821)
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.821}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}female {c |}
{space 10}0  {c |}{col 14}{res}{space 2}-4.877627{col 26}{space 2} 2.426398{col 37}{space 1}   -2.01{col 46}{space 3}0.047{col 54}{space 4}-9.693356{col 67}{space 3}-.0618988
{txt}{space 10}1  {c |}{col 14}{res}{space 2}-17.04355{col 26}{space 2} 3.313134{col 37}{space 1}   -5.14{col 46}{space 3}0.000{col 54}{space 4} -23.6192{col 67}{space 3}-10.46789
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins female, at(conflict=0.837)
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.837}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}female {c |}
{space 10}0  {c |}{col 14}{res}{space 2}-4.833086{col 26}{space 2} 2.472559{col 37}{space 1}   -1.95{col 46}{space 3}0.053{col 54}{space 4}-9.740431{col 67}{space 3}  .074259
{txt}{space 10}1  {c |}{col 14}{res}{space 2} -17.3666{col 26}{space 2} 3.386625{col 37}{space 1}   -5.13{col 46}{space 3}0.000{col 54}{space 4}-24.08811{col 67}{space 3}-10.64508
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins female, at(conflict=0.854)
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}       740
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:conflict}{space 8}{txt:=} {space 7}.854}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}female {c |}
{space 10}0  {c |}{col 14}{res}{space 2}-4.785761{col 26}{space 2} 2.522606{col 37}{space 1}   -1.90{col 46}{space 3}0.061{col 54}{space 4}-9.792435{col 67}{space 3} .2209127
{txt}{space 10}1  {c |}{col 14}{res}{space 2}-17.70983{col 26}{space 2}  3.46573{col 37}{space 1}   -5.11{col 46}{space 3}0.000{col 54}{space 4}-24.58835{col 67}{space 3}-10.83132
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. 
. **Coding for Timing
. recode timeokinitialchoiceok 31/99999999999999=.
{txt}(timeokinitialchoiceok: 0 changes made)

{com}. recode timeokinfosendok 31/99999999999999=.
{txt}(timeokinfosendok: 2 changes made)

{com}. recode timeokfinalchoiceok 31/99999999999999=.
{txt}(timeokfinalchoiceok: 0 changes made)

{com}. recode timeokactionok 31/99999999999999=.
{txt}(timeokactionok: 0 changes made)

{com}. recode timeokpayoffok 31/99999999999999=.
{txt}(timeokpayoffok: 4 changes made)

{com}. 
. replace timeokinitialchoiceok=30-timeokinitialchoiceok
{txt}(1442 real changes made)

{com}. replace timeokinfosendok=30-timeokinfosendok
{txt}(1450 real changes made)

{com}. replace timeokfinalchoiceok=30-timeokfinalchoiceok
{txt}(1438 real changes made)

{com}. replace timeokactionok=30-timeokactionok
{txt}(1453 real changes made)

{com}. replace timeokpayoffok=30-timeokpayoffok
{txt}(1458 real changes made)

{com}. 
. collapse (max) timeokinitialchoiceok timeokinfosendok timeokfinalchoiceok timeokactionok timeokpayoffok (mean) hamburg period, by(election)
{txt}
{com}. 
. gen totaltime=timeokinitialchoiceok+timeokinfosendok+timeokfinalchoiceok+timeokactionok+timeokpayoffok
{txt}
{com}. 
. 
. **Appendix 2 Figure 1 Values
. mean totaltime, over(period)
{res}
{txt}Mean estimation{col 37}Number of obs{col 54}= {res}    210

            {txt}1: period = {res}1
            {txt}2: period = {res}2
            {txt}3: period = {res}3
            {txt}4: period = {res}4
            {txt}5: period = {res}5
            {txt}6: period = {res}6
            {txt}7: period = {res}7
            {txt}8: period = {res}8
            {txt}9: period = {res}9
           {txt}10: period = {res}10
           {txt}11: period = {res}11
           {txt}12: period = {res}12
           {txt}13: period = {res}13
           {txt}14: period = {res}14
           {txt}15: period = {res}15

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 1}        Over{col 14}{c |}       Mean{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{res}totaltime    {txt}{c |}
{space 11}1 {c |}{col 14}{res}{space 2} 106.9286{col 26}{space 2} 8.764604{col 37}{space 5} 89.65021{col 51}{space 3} 124.2069
{txt}{space 11}2 {c |}{col 14}{res}{space 2} 91.14286{col 26}{space 2} 7.072511{col 37}{space 5} 77.20025{col 51}{space 3} 105.0855
{txt}{space 11}3 {c |}{col 14}{res}{space 2} 82.14286{col 26}{space 2} 7.039806{col 37}{space 5} 68.26473{col 51}{space 3} 96.02099
{txt}{space 11}4 {c |}{col 14}{res}{space 2} 76.92857{col 26}{space 2} 7.379407{col 37}{space 5} 62.38096{col 51}{space 3} 91.47618
{txt}{space 11}5 {c |}{col 14}{res}{space 2} 76.78571{col 26}{space 2} 7.742546{col 37}{space 5} 61.52222{col 51}{space 3} 92.04921
{txt}{space 11}6 {c |}{col 14}{res}{space 2} 82.42857{col 26}{space 2} 10.19303{col 37}{space 5} 62.33423{col 51}{space 3} 102.5229
{txt}{space 11}7 {c |}{col 14}{res}{space 2} 73.71429{col 26}{space 2} 5.913691{col 37}{space 5} 62.05616{col 51}{space 3} 85.37241
{txt}{space 11}8 {c |}{col 14}{res}{space 2} 60.42857{col 26}{space 2} 4.816084{col 37}{space 5} 50.93424{col 51}{space 3}  69.9229
{txt}{space 11}9 {c |}{col 14}{res}{space 2}       60{col 26}{space 2} 7.567281{col 37}{space 5} 45.08202{col 51}{space 3} 74.91798
{txt}{space 10}10 {c |}{col 14}{res}{space 2} 71.71429{col 26}{space 2} 5.993062{col 37}{space 5} 59.89969{col 51}{space 3} 83.52889
{txt}{space 10}11 {c |}{col 14}{res}{space 2} 62.28571{col 26}{space 2} 6.089469{col 37}{space 5} 50.28106{col 51}{space 3} 74.29037
{txt}{space 10}12 {c |}{col 14}{res}{space 2} 63.92857{col 26}{space 2} 4.837428{col 37}{space 5} 54.39217{col 51}{space 3} 73.46498
{txt}{space 10}13 {c |}{col 14}{res}{space 2} 62.35714{col 26}{space 2} 5.209466{col 37}{space 5} 52.08731{col 51}{space 3} 72.62698
{txt}{space 10}14 {c |}{col 14}{res}{space 2} 60.64286{col 26}{space 2} 5.507844{col 37}{space 5} 49.78481{col 51}{space 3} 71.50091
{txt}{space 10}15 {c |}{col 14}{res}{space 2} 57.85714{col 26}{space 2} 6.566529{col 37}{space 5} 44.91202{col 51}{space 3} 70.80226
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}

{com}. mean totaltime if hamburg==0, over(period)
{res}
{txt}Mean estimation{col 37}Number of obs{col 54}= {res}     75

            {txt}1: period = {res}1
            {txt}2: period = {res}2
            {txt}3: period = {res}3
            {txt}4: period = {res}4
            {txt}5: period = {res}5
            {txt}6: period = {res}6
            {txt}7: period = {res}7
            {txt}8: period = {res}8
            {txt}9: period = {res}9
           {txt}10: period = {res}10
           {txt}11: period = {res}11
           {txt}12: period = {res}12
           {txt}13: period = {res}13
           {txt}14: period = {res}14
           {txt}15: period = {res}15

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 1}        Over{col 14}{c |}       Mean{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{res}totaltime    {txt}{c |}
{space 11}1 {c |}{col 14}{res}{space 2}     71.2{col 26}{space 2} 2.416609{col 37}{space 5}  66.3848{col 51}{space 3}  76.0152
{txt}{space 11}2 {c |}{col 14}{res}{space 2}     66.2{col 26}{space 2}  5.36097{col 37}{space 5} 55.51803{col 51}{space 3} 76.88197
{txt}{space 11}3 {c |}{col 14}{res}{space 2}     55.6{col 26}{space 2} 7.061161{col 37}{space 5} 41.53033{col 51}{space 3} 69.66967
{txt}{space 11}4 {c |}{col 14}{res}{space 2}     47.2{col 26}{space 2} 3.337664{col 37}{space 5} 40.54956{col 51}{space 3} 53.85044
{txt}{space 11}5 {c |}{col 14}{res}{space 2}     45.4{col 26}{space 2} 4.915282{col 37}{space 5} 35.60609{col 51}{space 3} 55.19391
{txt}{space 11}6 {c |}{col 14}{res}{space 2}     49.6{col 26}{space 2} 7.249828{col 37}{space 5}  35.1544{col 51}{space 3}  64.0456
{txt}{space 11}7 {c |}{col 14}{res}{space 2}       48{col 26}{space 2} 2.302173{col 37}{space 5} 43.41282{col 51}{space 3} 52.58718
{txt}{space 11}8 {c |}{col 14}{res}{space 2}     42.8{col 26}{space 2}  3.86523{col 37}{space 5} 35.09836{col 51}{space 3} 50.50164
{txt}{space 11}9 {c |}{col 14}{res}{space 2}     37.2{col 26}{space 2} 4.127953{col 37}{space 5} 28.97487{col 51}{space 3} 45.42513
{txt}{space 10}10 {c |}{col 14}{res}{space 2}     53.8{col 26}{space 2} 9.388291{col 37}{space 5} 35.09342{col 51}{space 3} 72.50658
{txt}{space 10}11 {c |}{col 14}{res}{space 2}     38.4{col 26}{space 2} 6.360818{col 37}{space 5} 25.72579{col 51}{space 3} 51.07421
{txt}{space 10}12 {c |}{col 14}{res}{space 2}     48.2{col 26}{space 2} 4.993996{col 37}{space 5} 38.24924{col 51}{space 3} 58.15076
{txt}{space 10}13 {c |}{col 14}{res}{space 2}       44{col 26}{space 2} 3.741657{col 37}{space 5} 36.54458{col 51}{space 3} 51.45542
{txt}{space 10}14 {c |}{col 14}{res}{space 2}     40.6{col 26}{space 2}  2.61916{col 37}{space 5} 35.38121{col 51}{space 3} 45.81879
{txt}{space 10}15 {c |}{col 14}{res}{space 2}       38{col 26}{space 2} 3.807887{col 37}{space 5} 30.41262{col 51}{space 3} 45.58738
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}

{com}. mean totaltime if hamburg==1, over(period)
{res}
{txt}Mean estimation{col 37}Number of obs{col 54}= {res}    135

            {txt}1: period = {res}1
            {txt}2: period = {res}2
            {txt}3: period = {res}3
            {txt}4: period = {res}4
            {txt}5: period = {res}5
            {txt}6: period = {res}6
            {txt}7: period = {res}7
            {txt}8: period = {res}8
            {txt}9: period = {res}9
           {txt}10: period = {res}10
           {txt}11: period = {res}11
           {txt}12: period = {res}12
           {txt}13: period = {res}13
           {txt}14: period = {res}14
           {txt}15: period = {res}15

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 1}        Over{col 14}{c |}       Mean{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{res}totaltime    {txt}{c |}
{space 11}1 {c |}{col 14}{res}{space 2} 126.7778{col 26}{space 2} 7.393274{col 37}{space 5} 112.1552{col 51}{space 3} 141.4004
{txt}{space 11}2 {c |}{col 14}{res}{space 2}      105{col 26}{space 2} 7.158911{col 37}{space 5} 90.84092{col 51}{space 3} 119.1591
{txt}{space 11}3 {c |}{col 14}{res}{space 2} 96.88889{col 26}{space 2} 5.942887{col 37}{space 5} 85.13489{col 51}{space 3} 108.6429
{txt}{space 11}4 {c |}{col 14}{res}{space 2} 93.44444{col 26}{space 2} 6.251913{col 37}{space 5} 81.07925{col 51}{space 3} 105.8096
{txt}{space 11}5 {c |}{col 14}{res}{space 2} 94.22222{col 26}{space 2}  6.19762{col 37}{space 5} 81.96441{col 51}{space 3}   106.48
{txt}{space 11}6 {c |}{col 14}{res}{space 2} 100.6667{col 26}{space 2} 11.47219{col 37}{space 5} 77.97668{col 51}{space 3} 123.3567
{txt}{space 11}7 {c |}{col 14}{res}{space 2}       88{col 26}{space 2} 3.937004{col 37}{space 5} 80.21329{col 51}{space 3} 95.78671
{txt}{space 11}8 {c |}{col 14}{res}{space 2} 70.22222{col 26}{space 2} 4.572799{col 37}{space 5} 61.17802{col 51}{space 3} 79.26642
{txt}{space 11}9 {c |}{col 14}{res}{space 2} 72.66667{col 26}{space 2} 9.157571{col 37}{space 5} 54.55459{col 51}{space 3} 90.77875
{txt}{space 10}10 {c |}{col 14}{res}{space 2} 81.66667{col 26}{space 2} 5.624846{col 37}{space 5}  70.5417{col 51}{space 3} 92.79163
{txt}{space 10}11 {c |}{col 14}{res}{space 2} 75.55556{col 26}{space 2} 4.567734{col 37}{space 5} 66.52137{col 51}{space 3} 84.58974
{txt}{space 10}12 {c |}{col 14}{res}{space 2} 72.66667{col 26}{space 2} 5.049752{col 37}{space 5} 62.67914{col 51}{space 3}  82.6542
{txt}{space 10}13 {c |}{col 14}{res}{space 2} 72.55556{col 26}{space 2} 5.320587{col 37}{space 5} 62.03236{col 51}{space 3} 83.07875
{txt}{space 10}14 {c |}{col 14}{res}{space 2} 71.77778{col 26}{space 2} 5.602028{col 37}{space 5} 60.69794{col 51}{space 3} 82.85761
{txt}{space 10}15 {c |}{col 14}{res}{space 2} 68.88889{col 26}{space 2} 7.897687{col 37}{space 5} 53.26864{col 51}{space 3} 84.50914
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}

{com}. 
. **Coding for Truthful Signals
. use "FSU and Hamburg.dta", clear
{txt}
{com}. merge m:1 subid using "All Survey.dta"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}           1,470{txt}  (_merge==3)
{col 5}{hline 41}

{com}. drop _merge
{txt}
{com}. save "Truth Temp.dta", replace
{txt}file Truth Temp.dta saved

{com}. append using "Truth Temp.dta", generate(marker)
{txt}
{com}. drop alter
{txt}
{com}. 
. **Grouping Variables**
. gen sessiongroup=session*10+electorate
{txt}
{com}. gen election=session*10000+electorate*100+period
{txt}
{com}. gen subperiod=subid*100+period
{txt}
{com}. 
. **FEMALE & PERSONALITY VARIABLES
. gen female=gender
{txt}
{com}. recode female 2=0
{txt}(female: 1470 changes made)

{com}. 
. **Generating Alter Info
. gen alter=send1 if marker==1
{txt}(1470 missing values generated)

{com}. replace alter=send2 if marker==0
{txt}(1470 real changes made)

{com}. 
. gen didrec=suggest1 if marker==1
{txt}(1470 missing values generated)

{com}. replace didrec=suggest2 if marker==0
{txt}(1281 real changes made)

{com}. recode didrec 0=.
{txt}(didrec: 2011 changes made)

{com}. 
. **Truthful Signal
. gen froma=abs(alter-candamid) if candaambig==1
{txt}(1554 missing values generated)

{com}. replace froma=abs(alter-canda) if candaambig==2
{txt}(1554 real changes made)

{com}. gen fromb=abs(alter-candbmid) if candbambig==1
{txt}(1386 missing values generated)

{com}. replace fromb=abs(alter-candb) if candbambig==2
{txt}(1386 real changes made)

{com}. 
. gen senderfroma=abs(ideal-candamid) if candaambig==1
{txt}(1554 missing values generated)

{com}. replace senderfroma=abs(ideal-canda) if candaambig==2
{txt}(1554 real changes made)

{com}. gen senderfromb=abs(ideal-candbmid) if candbambig==1
{txt}(1386 missing values generated)

{com}. replace senderfromb=abs(ideal-candb) if candbambig==2
{txt}(1386 real changes made)

{com}. 
. 
. gen prefersame=1 if froma<fromb & senderfroma<senderfromb
{txt}(2781 missing values generated)

{com}. replace prefersame=1 if froma>fromb & senderfroma>senderfromb
{txt}(967 real changes made)

{com}. replace prefersame=0 if froma>fromb & senderfroma<senderfromb
{txt}(1033 real changes made)

{com}. replace prefersame=0 if froma<fromb & senderfroma>senderfromb
{txt}(213 real changes made)

{com}. replace prefersame=1 if froma==fromb
{txt}(418 real changes made)

{com}. replace prefersame=1 if senderfroma==senderfromb
{txt}(150 real changes made)

{com}. 
. 
. gen toldtruth=1 if didrec==1 & froma<fromb
{txt}(2748 missing values generated)

{com}. replace toldtruth=1 if didrec==5 & froma>fromb
{txt}(172 real changes made)

{com}. replace toldtruth=0 if didrec==5 & froma<fromb
{txt}(104 real changes made)

{com}. replace toldtruth=0 if didrec==1 & froma>fromb
{txt}(137 real changes made)

{com}. replace toldtruth=1 if froma==fromb
{txt}(418 real changes made)

{com}. replace toldtruth=. if didrec==.
{txt}(283 real changes made, 283 to missing)

{com}. 
. *Appendix 4 Figure 2 Values Columns 1 and 2
. svyset subid, strata(sessiongroup)

      {txt}pweight:{col 16}<none>
          VCE:{col 16}{res}linearized
  {txt}Single unit:{col 16}{res}missing
     {txt}Strata 1:{col 16}{res}sessiongroup
         {txt}SU 1:{col 16}{res}subid
        {txt}FPC 1:{col 16}<zero>
{p2colreset}{...}

{com}. svy: mean toldtruth if prefersame==0, over(female)
{txt}(running mean on estimation sample)
{res}
{txt}Survey: Mean estimation

{col 1}Number of strata{col 18}= {res}     14{txt}{col 37}Number of obs{col 54}= {res}    395
{txt}{col 1}Number of PSUs{col 18}= {res}     94{txt}{col 37}Population size{col 54}={res}     395
{txt}{col 37}Design df{col 54}= {res}     80

            {txt}0: female = {res}0
            {txt}1: female = {res}1

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}        Over{col 14}{c |}       Mean{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{res}toldtruth    {txt}{c |}
{space 11}0 {c |}{col 14}{res}{space 2} .3403141{col 26}{space 2} .0610036{col 37}{space 5} .2189131{col 51}{space 3} .4617152
{txt}{space 11}1 {c |}{col 14}{res}{space 2} .5441176{col 26}{space 2} .0623731{col 37}{space 5} .4199912{col 51}{space 3} .6682441
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}

{com}. test [toldtruth]0=[toldtruth]1

{txt}Adjusted Wald test

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[toldtruth]0 - [toldtruth]1 = 0{p_end}

{txt}       F(  1,    80) ={res}    5.29
{txt}{col 13}Prob > F ={res}    0.0241
{txt}
{com}. 
. *Appendix 8
. use "Correct Vote AJPS Treatment.dta", clear
{txt}
{com}. gen subid=session*100+subject
{txt}
{com}. merge m:1 subid using "Gender.dta"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}           1,269{txt}  (_merge==3)
{col 5}{hline 41}

{com}. 
. **Vote**
. gen apay=adamspublic+partybonus if party==1
{txt}(846 missing values generated)

{com}. replace apay=adamspublic+partybonus if party==2
{txt}(423 real changes made)

{com}. replace apay=adamspublic-partybonus if party==3
{txt}(423 real changes made)

{com}. 
. gen bpay=batespublic+partybonus if party==3
{txt}(846 missing values generated)

{com}. replace bpay=batespublic+partybonus if party==2
{txt}(423 real changes made)

{com}. replace bpay=batespublic-partybonus if party==1
{txt}(423 real changes made)

{com}. 
. gen apayguess=adamsguess1+partybonus if party==1
{txt}(846 missing values generated)

{com}. replace apayguess=adamsguess1+partybonus if party==2
{txt}(423 real changes made)

{com}. replace apayguess=adamsguess1-partybonus if party==3
{txt}(423 real changes made)

{com}. 
. gen bpayguess=batesguess1+partybonus if party==3
{txt}(846 missing values generated)

{com}. replace bpayguess=batesguess1+partybonus if party==2
{txt}(423 real changes made)

{com}. replace bpayguess=batesguess1-partybonus if party==1
{txt}(423 real changes made)

{com}. 
. gen guessdiff=apayguess-bpayguess
{txt}
{com}. 
. gen abspaydiff=abs(apay-bpay)
{txt}
{com}. gen paydiff=apay-bpay
{txt}
{com}. 
. 
. gen initialvote="Tie" if apayguess==bpayguess
{txt}(1214 missing values generated)

{com}. replace initialvote="A" if apayguess>bpayguess
{txt}(638 real changes made)

{com}. replace initialvote="B" if apayguess<bpayguess
{txt}(576 real changes made)

{com}. 
. gen shouldvote="Tie" if apay==bpay
{txt}(1260 missing values generated)

{com}. replace shouldvote="A" if apay>bpay
{txt}(688 real changes made)

{com}. replace shouldvote="B" if apay<bpay
{txt}(572 real changes made)

{com}. 
. gen correctvote=1 if shouldvote=="A" & vote==1
{txt}(707 missing values generated)

{com}. replace correctvote=1 if shouldvote=="B" & vote==0
{txt}(445 real changes made)

{com}. replace correctvote=0 if shouldvote=="A" & vote==0
{txt}(126 real changes made)

{com}. replace correctvote=0 if shouldvote=="B" & vote==1
{txt}(127 real changes made)

{com}. replace correctvote=1 if shouldvote=="Tie"
{txt}(9 real changes made)

{com}. 
. gen initialcorrect=1 if shouldvote=="A" & initialvote=="A"
{txt}(719 missing values generated)

{com}. replace initialcorrect=1 if shouldvote=="B" & initialvote=="B"
{txt}(468 real changes made)

{com}. replace initialcorrect=0 if shouldvote=="A" & initialvote=="B"
{txt}(104 real changes made)

{com}. replace initialcorrect=0 if shouldvote=="B" & initialvote=="A"
{txt}(83 real changes made)

{com}. replace initialcorrect=0 if initialvote=="Tie"
{txt}(55 real changes made)

{com}. replace initialcorrect=1 if shouldvote=="Tie"
{txt}(9 real changes made)

{com}. 
. 
. **Gender
. gen female=gender
{txt}
{com}. recode female 2=0
{txt}(female: 605 changes made)

{com}. 
. svyset subid

      {txt}pweight:{col 16}<none>
          VCE:{col 16}{res}linearized
  {txt}Single unit:{col 16}{res}missing
     {txt}Strata 1:{col 16}<one>
         SU 1:{col 16}{res}subid
        {txt}FPC 1:{col 16}<zero>
{p2colreset}{...}

{com}. svy: mean initialcorrect if party!=2 & info>0
{txt}(running mean on estimation sample)
{res}
{txt}Survey: Mean estimation

{col 1}Number of strata{col 18}= {res}      1{txt}{col 37}Number of obs{col 54}= {res}    666
{txt}{col 1}Number of PSUs{col 18}= {res}     72{txt}{col 37}Population size{col 54}={res}     666
{txt}{col 37}Design df{col 54}= {res}     71

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 16}{c |}{col 28}  Linearized
{col 16}{c |}       Mean{col 28}   Std. Err.{col 40}     [95% Con{col 53}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
initialcorrect {c |}{col 16}{res}{space 2} .8813814{col 28}{space 2} .0120218{col 39}{space 5} .8574105{col 53}{space 3} .9053523
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}

{com}. svy: mean initialcorrect if party!=2 & info>0, over(female)
{txt}(running mean on estimation sample)
{res}
{txt}Survey: Mean estimation

{col 1}Number of strata{col 18}= {res}      1{txt}{col 37}Number of obs{col 54}= {res}    666
{txt}{col 1}Number of PSUs{col 18}= {res}     72{txt}{col 37}Population size{col 54}={res}     666
{txt}{col 37}Design df{col 54}= {res}     71

            {txt}0: female = {res}0
            {txt}1: female = {res}1

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 16}{c |}{col 28}  Linearized
{col 1}          Over{col 16}{c |}       Mean{col 28}   Std. Err.{col 40}     [95% Con{col 53}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{res}initialcorrect {txt}{c |}
{space 13}0 {c |}{col 16}{res}{space 2} .8557377{col 28}{space 2} .0181879{col 39}{space 5} .8194721{col 53}{space 3} .8920033
{txt}{space 13}1 {c |}{col 16}{res}{space 2} .9030471{col 28}{space 2} .0150037{col 39}{space 5} .8731306{col 53}{space 3} .9329636
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}

{com}. 
. svy: mean correctvote  if party!=2 & info>0
{txt}(running mean on estimation sample)
{res}
{txt}Survey: Mean estimation

{col 1}Number of strata{col 18}= {res}      1{txt}{col 37}Number of obs{col 54}= {res}    666
{txt}{col 1}Number of PSUs{col 18}= {res}     72{txt}{col 37}Population size{col 54}={res}     666
{txt}{col 37}Design df{col 54}= {res}     71

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 14}{c |}       Mean{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 1}correctvote {c |}{col 14}{res}{space 2} .8018018{col 26}{space 2} .0171886{col 37}{space 5} .7675287{col 51}{space 3} .8360749
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}

{com}. svy: mean correctvote if party!=2 & info>0, over(female)
{txt}(running mean on estimation sample)
{res}
{txt}Survey: Mean estimation

{col 1}Number of strata{col 18}= {res}      1{txt}{col 37}Number of obs{col 54}= {res}    666
{txt}{col 1}Number of PSUs{col 18}= {res}     72{txt}{col 37}Population size{col 54}={res}     666
{txt}{col 37}Design df{col 54}= {res}     71

            {txt}0: female = {res}0
            {txt}1: female = {res}1

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}        Over{col 14}{c |}       Mean{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{res}correctvote  {txt}{c |}
{space 11}0 {c |}{col 14}{res}{space 2} .8327869{col 26}{space 2} .0209604{col 37}{space 5}  .790993{col 51}{space 3} .8745808
{txt}{space 11}1 {c |}{col 14}{res}{space 2} .7756233{col 26}{space 2} .0255813{col 37}{space 5} .7246157{col 51}{space 3} .8266308
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}

{com}. 
. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\ryanb\Dropbox\Gender Influence\PSRM\Final\Replication Stuff\PSRM Replication.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}18 Mar 2019, 20:24:23
{txt}{.-}
{smcl}
{txt}{sf}{ul off}